Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Ricardo Otazo"'
Autor:
Ergys Subashi, Li Feng, Yilin Liu, Scott Robertson, Paul Segars, Bastiaan Driehuys, Christopher R. Kelsey, Fang-Fang Yin, Ricardo Otazo, Jing Cai
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 25, Iss , Pp 100409- (2023)
Background and Purpose: The accuracy and precision of radiation therapy are dependent on the characterization of organ-at-risk and target motion. This work aims to demonstrate a 4D magnetic resonance imaging (MRI) method for improving spatial and tem
Externí odkaz:
https://doaj.org/article/09bc5bf9b1534f598d4085d87d78b36e
Autor:
Mohaddese Mohammadi, Elena A. Kaye, Or Alus, Youngwook Kee, Jennifer S. Golia Pernicka, Maria El Homsi, Iva Petkovska, Ricardo Otazo
Publikováno v:
Bioengineering, Vol 10, Iss 3, p 359 (2023)
This work presents a deep-learning-based denoising technique to accelerate the acquisition of high b-value diffusion-weighted MRI for rectal cancer. A denoising convolutional neural network (DCNN) with a combined L1–L2 loss function was developed t
Externí odkaz:
https://doaj.org/article/76e328cebada4ded8949d5dc84aba682
Autor:
Victoria Y. Yu, PhD, Kristen Zakian, PhD, Neelam Tyagi, PhD, Minsi Zhang, MD, PhD, Paul B. Romesser, MD, Alex Dresner, PhD, Laura Cerviño, PhD, Ricardo Otazo, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 7, Iss 1, Pp 100799- (2022)
Purpose: To assess the effect of a combination of compressed sensing and SENSitivity Encoding (SENSE) acceleration techniques on radiation therapy magnetic resonance imaging (MRI) simulation workflows. Methods and Materials: Thirty-seven acquisitions
Externí odkaz:
https://doaj.org/article/bd61e105dae04952a6e06a8d062d9837
Autor:
Daniel, Grzeda, Meirav, Galun, Noam, Omer, Tamar, Blumenfeld-Katzir, Dvir, Radunsky, Ricardo, Otazo, Noam, Ben-Eliezer
Publikováno v:
In Magnetic Resonance Imaging May 2023 98:66-75
Autor:
Victoria Y. Yu, Ricardo Otazo, Can Wu, Ergys Subashi, Manuel Baumann, Peter Koken, Mariya Doneva, Peter Mazurkewitz, Daniel Shasha, Michael Zelefsky, Laura Cervino, Ouri Cohen
Publikováno v:
Magnetic Resonance Imaging. 101:25-34
Autor:
Ouri Cohen, Victoria Y. Yu, Kathryn R. Tringale, Robert J. Young, Or Perlman, Christian T. Farrar, Ricardo Otazo
Publikováno v:
Magnetic Resonance in Medicine. 89:233-249
$\textbf{Purpose}$: To develop a clinical CEST MR fingerprinting (CEST-MRF) method for brain tumor quantification using EPI acquisition and deep learning reconstruction. $\textbf{Methods}$: A CEST-MRF pulse sequence originally designed for animal ima
Autor:
Doris Leithner, Rachel B. Nevin, Peter Gibbs, Michael Weber, Ricardo Otazo, H. Alberto Vargas, Marius E. Mayerhoefer
Publikováno v:
Investigative Radiology.
Autor:
Ramin Jafari, Richard Kinh Gian Do, Maria Divina LaGratta, Maggie Fung, Ersin Bayram, Ty Cashen, Ricardo Otazo
Publikováno v:
NMR in Biomedicine. 36
The purpose of the current study was to develop a deep learning technique called Golden-angle RAdial Sparse Parallel Network (GRASPnet) for fast reconstruction of dynamic contrast-enhanced 4D MRI acquired with golden-angle radial k-space trajectories
Publikováno v:
The Neuroradiology Journal. :197140092311731
Magnetic resonance (MR) relaxometry is a quantitative imaging method that measures tissue relaxation properties. This review discusses the state of the art of clinical proton MR relaxometry for glial brain tumors. Current MR relaxometry technology al
Autor:
Jean-Philippe Pignol, Heinz Peter Schlemmer, Mark E. Ladd, Michael Baumann, Hedvig Hricak, Ricardo Otazo, Philippe Lambin
Publikováno v:
Radiology
Radiation therapy (RT) continues to be one of the mainstays of cancer treatment. Considerable efforts have been recently devoted to integrating MRI into clinical RT planning and monitoring. This integration, known as MRI-guided RT, has been motivated